Abstract
The current research work focuses on the optimization of the process variables of abrasive water jet machining (AWJM) process on Nimonic C-263 alloy by using the Taguchi method. The design and experiments are conducted by Taguchi L-27 orthogonal array technique. The three process variables: water jet pressure (WJP), transverse speed (TS) and standoff distance (SOD) are considered at three different levels. The considered output responses are: Kerf Taper (KT), material removal rate (MRR) and surface roughness (SR). The surface morphology of machined surface is analyzed by using the scanning electron microscope (SEM) images. Analysis of variance (ANOVA) was conducted to analyze the significant impact of each variable. From the analysis of all the responses, it is evident that all the responses are greatly influenced by transverse speed. The SEM images have revealed the micro-cuts and plastic deformation at various locations of the machined surface.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Uthayakumar M, Khan MA, Kumaran ST, Slota A, Zajac J (2016) Machinability of nickel-based superalloy by abrasive water jet machining. Mater Manuf Processes 31(13):1733–1739
Joel C, Jeyapoovan T (2021) Optimization of machinability parameters in abrasive water jet machining of AA7075 using Grey-Taguchi method. Mater Today Proc 1(37):737–741
Senthilkumar TS, Muralikannan R, Kumar SS (2020) Surface morphology and parametric optimization of AWJM parameters using GRA on aluminum HMMC. Mater Today Proc 1(22):410–415
Saravanan K, Sudeshkumar MP, Maridurai T, Suyamburajan V, Jayaseelan V (2021) Optimization of SiC abrasive parameters on machining of Ti-6Al-4V alloy in AJM using Taguchi-Grey relational method. Silicon 1–8.6
Patel GM, Kumar RS, Naidu NS (2020) Optimization of abrasive water jet machining for green composites using multi-variant hybrid techniques. In: Optimization of manufacturing processes. Springer, Cham, pp 129–162
Tripathi DR, Vachhani KH, Bandhu D, Kumari S, Kumar VR, Abhishek K (2021) Experimental investigation and optimization of abrasive waterjet machining parameters for GFRP composites using metaphor-less algorithms. Mater Manuf Processes 13:1–1
Gnanavelbabu A, Rajkumar K, Saravanan P (2018) Investigation on the cutting quality characteristics of abrasive water jet machining of AA6061-B4C-hBN hybrid metal matrix composites. Mater Manuf Processes 33(12):1313–1323
Mardi KB, Dixit AR, Mallick A, Pramanik A, Ballokova B, Hvizdos P, Foldyna J, Scucka J, Hlavacek P, Zelenak M (2017) Surface integrity of Mg-based nanocomposite produced by abrasive water jet machining (AWJM). Mater Manuf Processes 32(15):1707–1714
Mardi KB, Dixit AR, Srivastava AK, Mallick A, Scucka J, Hlaváček P, Hloch S, Zeleňák M (2018) Effect of water pressure during abrasive waterjet machining of Mg-based nanocomposite. Applications of fluid dynamics. Springer, Singapore, pp 605–612
Yuvaraj N, Kumar MP (2017) Surface integrity studies on abrasive water jet cutting of AISI D2 steel. Mater Manuf Processes 32(2):162–170
Nair A, Kumanan S (2018) Optimization of size and form characteristics using multi-objective grey analysis in abrasive water jet drilling of Inconel 617. J Braz Soc Mech Sci Eng 40(3):121
Suárez A, Veiga F, Polvorosa R, Artaza T, Holmberg J, de Lacalle LL, Wretland A (2019) Surface integrity and fatigue of non-conventional machined Alloy 718. J Manuf Processes 48:44–50
Chekuri RBR, Ramakotaiah K, Jamaleswara P, Rajesh S (2019) Modeling and optimization of machining high performance nickel based super alloy nimonic c-263 using die sinking EDM. Int J Mech Eng Rob Res 8(2):196–201
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Madhavarao, S., Penmetsa, R.V., Rama Bhadri Raju, C., Gottumukkala, H.T.R. (2022). Optimization of Process Variables in Abrasive Water Jet Machining of Nimonic C-263 Super Alloy Using Taguchi Method. In: Bindhu, V., R. S. Tavares, J.M., Ţălu, Ş. (eds) Proceedings of Fourth International Conference on Inventive Material Science Applications. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-4321-7_15
Download citation
DOI: https://doi.org/10.1007/978-981-16-4321-7_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-4320-0
Online ISBN: 978-981-16-4321-7
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)